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Quantum Algorithms

Parameterized Multi-observable Sum Uncertainty Relations

arXiv
Authors: Jing-Feng Wu, Qing-Hua Zhang, Shao-Ming Fei

Year

2022

Paper ID

57623

Status

Preprint

Abstract Read

~2 min

Abstract Words

89

Citations

N/A

Abstract

The uncertainty principle is one of the fundamental features of quantum mechanics and plays an essential role in quantum information theory. We study uncertainty relations based on variance for arbitrary finite N quantum observables. We establish a series of parameterized uncertainty relations in terms of the parameterized norm inequalities, which improve the exiting variance-based uncertainty relations. The lower bounds of our uncertainty inequalities are non-zero unless the measured state is a common eigenvector of all the observables. Detailed examples are provided to illustrate the tightness of our uncertainty relations.

Why This Paper Matters

  • It adds a 2022 reference point for readers tracking recent quantum research.
  • The uncertainty principle is one of the fundamental features of quantum mechanics and plays an essential role in quantum information theory.

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